Data abstraction for designing database-intensive applications

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Data abstraction for designing database-intensive applications

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International Conference on Management of Data archive
Proceedings of the 1980 workshop on Data abstraction, databases and conceptual modeling table of contents

Pingree Park, Colorado, United States

Pages: 101 - 103

Year of Publication: 1980

ISBN:0-89791-031-1

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Author

Michael L. Brodie

Department of Computer Science, University of Maryland

Sponsors

NBS : National Bureau of Standards
SIGART: ACM Special Interest Group on Artificial Intelligence
SIGMOD: ACM Special Interest Group on Management of Data
SIGPLAN: ACM Special Interest Group on Programming Languages

Publisher

ACM New York, NY, USA

Bibliometrics

Downloads (6 Weeks): 8, Downloads (12 Months): 33, Citation Count: 3

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ABSTRACT

There is a growing exchange of ideas amongst Artificial Intelligence (AI), Database (DB) and Programming Language (PL) researchers concerning conceptual modelling of complex, object-oriented applications. The complexity of these applications arises from complicated structural and behavioral properties which change through time; concurrent, interactive access by users with different processing needs over a shared database; information locality (i.e., DB views, PL data abstractions, AI perspectives); and primarily update-oriented transactions. Two main problems raised by these applications are: managing the intellectual complexity of their design, development and evolution, and defining and ensuring semantic integrity.

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	John Miles Smith , Diane C. P. Smith, Database abstractions: aggregation and generalization, ACM Transactions on Database Systems (TODS), v.2 n.2, p.105-133, June 1977 [doi>10.1145/320544.320546]
	2	Proc. NYU Symposium on Database Design, Graduate School of Business, New York University, May 1978.
	3	Lum V. et al. 1978 New Orleans data design workshop report. Proc. 5th Int'l. Conf. Very Large Data Bases, Rio de Janeiro, October 1979.
	4	Toby J. Teorey , James P. Fry, The Logical Record Access Approach to Database Design, ACM Computing Surveys (CSUR), v.12 n.2, p.179-211, June 1980 [doi>10.1145/356810.356815]
	5	John Mylopoulos , Philip A. Bernstein , Harry K. T. Wong, A language facility for designing database-intensive applications, ACM Transactions on Database Systems (TODS), v.5 n.2, p.185-207, June 1980 [doi>10.1145/320141.320150]
	6	Joachim W. Schmidt, Some high level language constructs for data of type relation, ACM Transactions on Database Systems (TODS), v.2 n.3, p.247-261, Sept. 1977 [doi>10.1145/320557.320568]
	7	Brodie, M. L. The application of data types to database semantic integrity. Information Systems 5, 4, 1980.

CITED BY 3

	James Vorbach , James Kowalski, A unifying logic-based formalism for semantic data models, Proceedings of the 19th annual conference on Computer Science, p.342-348, April 1991, San Antonio, Texas, United States
	D. S. Batory , Won Kim, Modeling concepts for VLSI CAD objects, ACM Transactions on Database Systems (TODS), v.10 n.3, p.322-346, Sept. 1985
	C. Batini , M. Lenzerini , S. B. Navathe, A comparative analysis of methodologies for database schema integration, ACM Computing Surveys (CSUR), v.18 n.4, p.323-364, Dec. 1986